Abstract
The COVID-19 (2019 novel Coronavirus) is the most widespread pandemic infectious disease encountered in human history. Its economic losses and the number of countries involved rank first in the history of human viruses. Since the outbreak of the COVID-19 pandemic around the world, AI has made a great contribution to the prevention and control of the COVID-19 pandemic. In this paper, researches on the application of artificial intelligence in COVID-19 pandemic prevention and control were analyzed by informetric method. 432 papers indexed in Thomson Reuters's Web of Science were studied by the perspectives of categories of researches, high frequency keywords, authors, institutions, journals and countries, and we get conclusions as follows: The analysis of keywords cooccurence shows application of machine learning and deep learning in COVID-19 pandemic diagnosis and prediction. The journal that received the most cites was (Radiology) and the journal that published the most papers was (Journal of Medical Internet Research). USA, India and China have the largest number of published articles. USA, China and UK are most influential countries. We also analyzed the review literature on the application of AI in COVID-19 pandemic prevention and control in the Web of Science, and found that these papers specifically can be divided into the following three categories: The first is the application of AI in clinical diagnosis and treatment, the second is the application of AI in the development of anti-epidemic drugs, and the third is the role of AI in the epidemiological research of COVID-19 and the social governance of pandemic prevention and control.
| Original language | English |
|---|---|
| Title of host publication | 2021 International Conference on Image, Video Processing, and Artificial Intelligence |
| Editors | Yudong Zhang |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510650275 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 2021 International Conference on Image, Video Processing, and Artificial Intelligence - Shanghai, China Duration: 28 Aug 2021 → 29 Aug 2021 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12076 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 2021 International Conference on Image, Video Processing, and Artificial Intelligence |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 28/08/21 → 29/08/21 |
Bibliographical note
Publisher Copyright:© 2021 SPIE.
Keywords
- Artificial Intelligence
- COVID-19
- Informetric analysis
